Tim Kute

890 total citations
9 papers, 752 citations indexed

About

Tim Kute is a scholar working on Molecular Biology, Cell Biology and Nutrition and Dietetics. According to data from OpenAlex, Tim Kute has authored 9 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Cell Biology and 2 papers in Nutrition and Dietetics. Recurrent topics in Tim Kute's work include Cell Adhesion Molecules Research (2 papers), Cancer therapeutics and mechanisms (1 paper) and Click Chemistry and Applications (1 paper). Tim Kute is often cited by papers focused on Cell Adhesion Molecules Research (2 papers), Cancer therapeutics and mechanisms (1 paper) and Click Chemistry and Applications (1 paper). Tim Kute collaborates with scholars based in United States and Japan. Tim Kute's co-authors include Mark C. Willingham, Lia Tesfay, Frank M. Torti, Lance D. Miller, Suzy V. Torti, Heather Hatcher, Guangchao Sui, Wei Wang, Xiumin Di and Ralph B. D’Agostino and has published in prestigious journals such as Oncogene, Antimicrobial Agents and Chemotherapy and Science Translational Medicine.

In The Last Decade

Tim Kute

9 papers receiving 740 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tim Kute United States 9 326 192 177 114 114 9 752
Maya Shvartsman Israel 11 292 0.9× 332 1.7× 247 1.4× 216 1.9× 33 0.3× 11 764
Basharut A. Syed United Kingdom 15 250 0.8× 152 0.8× 106 0.6× 94 0.8× 50 0.4× 24 678
Micheline J. Moussalli United States 20 646 2.0× 442 2.3× 49 0.3× 108 0.9× 233 2.0× 23 1.4k
Xiaoke Di China 12 252 0.8× 185 1.0× 119 0.7× 108 0.9× 127 1.1× 25 627
Iman J. Schultz Netherlands 14 506 1.6× 70 0.4× 44 0.2× 60 0.5× 149 1.3× 22 814
Naiara Santana-Codina United States 11 659 2.0× 123 0.6× 85 0.5× 76 0.7× 403 3.5× 14 1.1k
Elżbieta Gocek Poland 15 458 1.4× 148 0.8× 58 0.3× 26 0.2× 156 1.4× 20 757
Sylvie Shen Australia 14 447 1.4× 85 0.4× 93 0.5× 39 0.3× 177 1.6× 26 840
Sarit Assouline Canada 12 349 1.1× 85 0.4× 254 1.4× 105 0.9× 96 0.8× 37 866
Madan G. Luthra United States 13 520 1.6× 137 0.7× 32 0.2× 182 1.6× 131 1.1× 20 967

Countries citing papers authored by Tim Kute

Since Specialization
Citations

This map shows the geographic impact of Tim Kute's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tim Kute with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Kute more than expected).

Fields of papers citing papers by Tim Kute

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim Kute. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tim Kute. The network helps show where Tim Kute may publish in the future.

Co-authorship network of co-authors of Tim Kute

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Kute. A scholar is included among the top collaborators of Tim Kute based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tim Kute. Tim Kute is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Miller, Lance D., Wei Wang, Ralph B. D’Agostino, et al.. (2010). Ferroportin and Iron Regulation in Breast Cancer Progression and Prognosis. Science Translational Medicine. 2(43). 372 indexed citations
2.
Conner‐Kerr, Teresa, et al.. (2010). The effects of low-frequency ultrasound (35 kHz) on methicillin-resistant Staphylococcus aureus (MRSA) in vitro.. PubMed. 56(5). 32–43. 22 indexed citations
3.
Shinkai, Masaharu, Jun Tamaoki, Hideo Kobayashi, et al.. (2006). Clarithromycin Delays Progression of Bronchial Epithelial Cells from G 1 Phase to S Phase and Delays Cell Growth via Extracellular Signal-Regulated Protein Kinase Suppression. Antimicrobial Agents and Chemotherapy. 50(5). 1738–1744. 29 indexed citations
4.
Lohman, Kurt, Radka Stoyanova, Gregory L. Kucera, et al.. (2004). Perillyl alcohol-mediated inhibition of lung cancer cell line proliferation: potential mechanisms for its chemotherapeutic effects. Toxicology and Applied Pharmacology. 195(2). 232–246. 39 indexed citations
5.
Bharadwaj, Shantaram, Edward A. Levine, Mark C. Willingham, et al.. (2003). Loss of expression of tropomyosin-1, a novel class II tumor suppressor that induces anoikis, in primary breast tumors. Oncogene. 22(40). 6194–6203. 119 indexed citations
6.
Kute, Tim, et al.. (2003). Absence of HER2 overexpression in metastatic malignant melanoma. Journal of Surgical Oncology. 84(2). 82–88. 20 indexed citations
7.
Dong, Fang, Tim Kute, & Vijayasaradhi Setaluri. (2001). Regulation of Tyrosinase‐related Protein‐2 (TYRP2) in Human Melanocytes: Relationship to Growth and Morphology. Pigment Cell Research. 14(2). 132–139. 64 indexed citations
8.
Trimboli, A.J., B. Moseley Waite, Gen‐ichi Atsumi, et al.. (1999). Influence of coenzyme A-independent transacylase and cyclooxygenase inhibitors on the proliferation of breast cancer cells.. PubMed. 59(24). 6171–7. 28 indexed citations
9.
Loeser, Richard F., Brian Varnum, Cathy S. Carlson, et al.. (1997). Human chondrocyte expression of growth‐arrest‐specific gene 6 and the tyrosine kinase receptor axl. Potential role in autocrine signaling in cartilage. Arthritis & Rheumatism. 40(8). 1455–1465. 59 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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